Artículos de revistas
Testing individual inter-annual variations in flower production by means of retrospective analysis of meristem allocation in two tree species
Fecha
2016-12Registro en:
Torres, Cristian Daniel; Magnin, Noel Amaru; Stecconi, Marina; Puntieri, Javier Guido; Testing individual inter-annual variations in flower production by means of retrospective analysis of meristem allocation in two tree species; Springer; Folia Geobotanica; 51; 4; 12-2016; 361-371
1211-9520
CONICET Digital
CONICET
Autor
Torres, Cristian Daniel
Magnin, Noel Amaru
Stecconi, Marina
Puntieri, Javier Guido
Resumen
High inter-annual variations in flower and seed production have been frequently reported for wind-pollinated tree species. Such variations have been generally studied from a population perspective. The present study focuses on the meristematic cost of flower production in main branches of Nothofagus obliqua and N. nervosa through a retrospective analysis of flower production over 4–5 consecutive years. In both species, the percentage of flowering nodes in one year varied between 0 and 55 %. In N. obliqua, total flower production was bimodally distributed: years of high and low production were more common than years of intermediate production. Bimodality was not significant either for total flower production in N. nervosa or for each flower type separately in both species. Flower production affected branching negatively, which meant a meristematic cost. Periodicity in flower production was uneven among co-specific trees; more than two consecutive years of high flower production were rare in all trees. Inter-annual variations in the production of staminate and pistillate flowers were synchronized. In N. nervosa, the production of pistillate flowers tended to be more variable among years than the production of staminate flowers. The applied technique helps in the assessment of individual variations of flower production and contributes to understanding factors promoting seed-production variations in tree species at population scale.